Arcanite - ML Specialist

Arcanite is a young and dynamic company that offers tailor-made solutions and supports the IT development of its customers and partners. The company, founded by former members of the EPFL community, now has about twenty employees.

Our core business is the development of customized solutions in the areas of web application development, machine learning, data engineering and server stack management and automation.

Your responsibilities

  • Formulate and execute various experiments with a direct impact on the bottom-line
  • Define metrics and evaluation processes to evaluate the performance and impact of your models
  • Contribute to code reviews
  • Identify new areas of application for machine learning (e.g., climate, health, etc.)
  • Experiment on a wide range of data sets from our customers and partners
  • Stay up to date on the latest advances in machine learning by continuously developing your own skills and knowledge, and help others improve theirs

Required profile

  • Higher education in IT or engineering (EPFL / ETHZ engineer, HES engineer, etc.) or equivalent
  • Strong interest in machine learning, artificial intelligence, data science and big data
  • Ability to present results to different audiences
  • Willingness to learn new concepts and methods
  • Languages: fluent written/oral French and English (min. B1), German a plus


Minimum Skills

  • Knowledge of Machine Learning concepts
  • Mastery of Python
  • Experience with Python DS / ML / DL libraries and frameworks (e.g. numpy, pandas, scikit-learn, TensorFlow, Keras and/or Pytorch)

Appreciated skills

  • Experience in implementing deep learning architecture
  • Experience in end-to-end flow design in Machine Learning
  • Expertise / experience in one or more fields: Deep Learning, graphic models, object detection, NLP, recommendation systems
  • Good practical skills with Git and Gitlab

What we offer

  • Working with modern technologies
  • Professional experience in cutting-edge fields
  • A pleasant working environment and a relaxed atmosphere in a young company
  • Develop expertise in programming areas related to machine learning through interactions with a diverse team